{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/qiskit/providers/ibmq/ibmqfactory.py:192: UserWarning: Timestamps in IBMQ backend properties, jobs, and job results are all now in local time instead of UTC.\n",
      "  warnings.warn('Timestamps in IBMQ backend properties, jobs, and job results '\n",
      "ibmqfactory.load_account:WARNING:2020-09-11 01:13:31,204: Credentials are already in use. The existing account in the session will be replaced.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "# Importing standard Qiskit libraries and configuring account\n",
    "from qiskit import QuantumCircuit, execute, Aer, IBMQ\n",
    "from qiskit.compiler import transpile, assemble\n",
    "from qiskit.tools.jupyter import *\n",
    "from qiskit.visualization import *\n",
    "# Loading your IBM Q account(s)\n",
    "provider = IBMQ.load_account()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 3 - Quantum Labs notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7efd51985ed0>"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = QuantumCircuit(2,2)\n",
    "qc.h(0)\n",
    "qc.cx(0, 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7efd5179f6d0>"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.measure(range(2), range(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 381.432x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [],
   "source": [
    "backend = Aer.get_backend('qasm_simulator')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [],
   "source": [
    "job_simulator = execute(qc, backend, shots=1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_simulator = job_simulator.result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'00': 491, '11': 533}\n"
     ]
    }
   ],
   "source": [
    "counts = result_simulator.get_counts(qc)\n",
    "print(counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.visualization import plot_histogram\n",
    "plot_histogram(counts)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Executing a circuit on a quantum computer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<IBMQSimulator('ibmq_qasm_simulator') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmqx2') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_16_melbourne') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_vigo') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_ourense') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_valencia') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_london') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_burlington') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_essex') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_armonk') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_santiago') from IBMQ(hub='ibm-q', group='open', project='main')>]"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "provider.backends()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {},
   "outputs": [],
   "source": [
    "backend = provider.get_backend('ibmq_vigo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'00': 493, '01': 15, '10': 14, '11': 502}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Repeating steps 2-5 from above:\n",
    "job_simulator = execute(qc, backend, shots=1024)\n",
    "result_simulator = job_simulator.result()\n",
    "counts = result_simulator.get_counts(qc)\n",
    "print(counts)\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
